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Lithium-ion Battery SOH Estimation with Varying Amount of Battery Operation Data
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| Author(s) |
Xingjun LI, Dan YU, Søren Byg VILSEN, Daniel-Ioan STROE |
| Abstract |
This work estimates SOH of lithium-ion batteries, aged by a forklift driving profile, based on multiple linear regression and compares the estimation accuracy at three levels. Unlike previous research, this work uses dynamic and field data rather than public datasets. The influence of data size and the position to extract features on the SOH estimation accuracy was researched. It is found that extracting features from smaller voltage segments contains more information. The estimation accuracy can be improved by 24.5\% MAPE after the Box-Cox transformation |
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| Filename: | 0127-epe2023-full-20502283.pdf |
| Filesize: | 478.5 KB |
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| Type |
Members Only |
| Date |
Last modified 2023-09-24 by System |
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